Concept Presentation

Concept Presentation

Term explanation

Definition and meaning

A concept presentation introduces a new idea, product concept, or strategic direction to an audience for evaluation or feedback. It is typically used in early stages of a project — before a full proposal is developed — to test reactions, align stakeholders, or secure initial approval. A good concept presentation clearly communicates the core idea, explains the problem it solves, and outlines the key assumptions, without yet committing to a full implementation plan.

LIZ AI helps structure complex concept presentations from your documents and data. The Smart Presentation Composer translates your ideas into a clear, narrative-driven slide structure — ready to present.

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Other glossary terms

Effect Options

Effect Options in PowerPoint allow presenters to customize how animations and transitions behave — including direction, timing, sequence, and the degree of motion applied. For example, a Fly In animation can be set to arrive from the left, right, top, or bottom. Effect Options give presenters precise control over the appearance and feel of animations without requiring advanced design skills, making it easy to fine-tune motion effects to match the tone and pacing of a presentation.

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Instructive Presentations

Instructive Presentations are similar to informative presentations, but it's more than just giving informations. People attend instructive presentations to learn something new and to understand the topic of the presentation better.

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.potm file extension

A .potm file is a macro-enabled PowerPoint template that combines the reusable layout and formatting of a standard template with embedded VBA macros. It allows organizations to distribute presentation templates that include automated functionality — such as auto-populating fields or enforcing formatting rules — while maintaining a consistent visual identity. Like .pptm files, .potm files should be handled carefully due to their macro capabilities.

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Large Language Model (LLM)

A large language model (LLM) is an AI system trained on vast amounts of text data that can understand, generate, and transform language at a human-like level. LLMs power a wide range of applications — from chatbots and writing assistants to automated document creation and data summarization. In enterprise software, LLMs are increasingly embedded into workflows to interpret unstructured data, draft content, and translate information between systems automatically. In contrast, the Large Presentation Model (LPM) is a specialised AI system that orchestrates the entire presentation cycle in an enterprise context.

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